{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["damage amount", "tool", "purpose", "attacker", "attack pattern", "place", "trusted entity", "victim"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of data", "place", "tool", "purpose", "number of victim", "attacker", "attack pattern", "time", "victim", "compromised data", "damage amount"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["patch", "common vulnerabilities and exposures", "patch number", "time", "vulnerability", "vulnerable system", "issues addressed", "vulnerable system version"]}], "input": "The breach also affected more than 46 million Malaysian users and several telecommunications companies ."}
{"phishing": [], "data breach": [{"trigger": "The breach", "arguments": {"number of data": "NAN", "place": "NAN", "tool": "NAN", "purpose": "NAN", "number of victim": "46 million", "attacker": "NAN", "attack pattern": "NAN", "time": "NAN", "victim": ["Malaysian users", "telecommunications companies"], "compromised data": "NAN", "damage amount": "NAN"}}], "patch vulnerability": []}